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arXiv · 1310.2435

Interference Alignment via Message-Passing

Maxime Guillaud·Mohsen Rezaee·Gerald Matz
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Abstract

We introduce an iterative solution to the problem of interference alignment (IA) over MIMO channels based on a message-passing formulation. We propose a parameterization of the messages that enables the computation of IA precoders by a min-sum algorithm over continuous variable spaces -- under this parameterization, suitable approximations of the messages can be computed in closed-form. We show that the iterative leakage minimization algorithm of Cadambe et al. is a special case of our message-passing algorithm, obtained for a particular schedule. Finally, we show that the proposed algorithm compares favorably to iterative leakage minimization in terms of convergence speed, and discuss a distributed implementation.

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Maxime Guillaud, Mohsen Rezaee, Gerald Matz. 2013-10-09. Interference Alignment via Message-Passing. https://doi.org/10.1109/icc.2014.6884237

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